GPT-6.1 Terra vs Qwen3 Coder Next
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $1.00
- Output, $ per 1M tokens
- $5.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.500 / $2.50
- Tool calling
- Yes
- Released
- ▲10/26/2026
- Knowledge cutoff
- 2026-06-01
- API id
- openai/gpt-6.1-terra
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- ▲$0.120
- Output, $ per 1M tokens
- ▲$0.800
- Cache read, $ per 1M
- $0.070
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/03/2026
- Knowledge cutoff
- 2025-09
- API id
- qwen/qwen3-coder-next
Which is the better API choice: GPT-6.1 Terra vs Qwen3 Coder Next?
- Qwen3 Coder Next: cheapest input (88% less than GPT-6.1 Terra)
- Qwen3 Coder Next: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
Qwen3 Coder Next costs 88% less on input and 84% less on output than GPT-6.1 Terra ($0.120 / $0.800 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images; GPT-6.1 Terra has a reasoning mode. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3 Coder Next you save $30.00 a month versus GPT-6.1 Terra (86% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Qwen3 Coder Next Qwen$0.009
- 3GPT-6.1 Terra OpenAI$0.076
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: GPT-6.1 Terra vs Qwen3 Coder Next?
Qwen3 Coder Next costs 88% less on input and 84% less on output than GPT-6.1 Terra ($0.120 / $0.800 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images; GPT-6.1 Terra has a reasoning mode. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Terra and Qwen3 Coder Next?
Qwen3 Coder Next is cheaper: $0.120 per million input tokens and $0.800 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Qwen3 Coder Next?
GPT-6.1 Terra accepts 1.1 M tokens of context; Qwen3 Coder Next accepts 262 K.
Which is newer: GPT-6.1 Terra and Qwen3 Coder Next?
GPT-6.1 Terra was released on 10/26/2026; Qwen3 Coder Next on 02/03/2026.
What would 10,000 requests a month cost with GPT-6.1 Terra and Qwen3 Coder Next?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Qwen3 Coder Next: $5.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.